LLM Articles

Distillation is a technique in LLM training where a smaller, more efficient model (like GPT-4o mini) is trained to mimic the behavior and knowledge of a larger, more complex model (like GPT-4o).

Discover 12 LLM project ideas with easy-to-follow visual guides and source codes, suitable for beginners, intermediate students, final-year scholars, and experts.

Vector embeddings are numerical representations of words or phrases that capture their meanings and relationships, helping machine learning models understand text more effectively.

MoME (Mixture of Million Experts) is a scalable language model using Mixture of Experts (MoE) with a routing mechanism called PEER to efficiently utilize millions of specialized networks.

Ace your AI interview with our comprehensive guide. Explore technical and scenario-based questions and answers to increase confidence and unlock your potential.

Discover OpenAI’s Sora through example videos and explore its features, including Remix, Re-cut, Loop, Storyboard, Blend, and Style Preset.

Learn how GPT-5 will evolve into a unified system with advanced features, targeting a summer 2025 release, based on OpenAI’s latest roadmap and GPT history.

Learn how Retrieval Augmented Generation (RAG) enhances large language models by integrating external data sources.